Resnick Michael A, Tomso Dan, Inga Alberto, Menendez Daniel, Bell Douglas
Laboratory of Molecular Genetics, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA.
Cell Cycle. 2005 Aug;4(8):1026-9. doi: 10.4161/cc.4.8.1904. Epub 2005 Aug 7.
Individual differences in susceptibility to exposure induced diseases are likely due to variation in the DNA sequences of "environmental response" genes, many of which are arranged in complex regulatory networks. Among approximately 10 million inherited DNA variations, called single nucleotide polymorphisms (SNPs), perhaps only a few thousand, will actually influence human disease risk. We have combined bioinformatics and laboratory approaches to investigate genetic variation within the p53 stress response network. p53, a prominent tumor suppressor protein, is a master regulator that targets over a hundred genes for transcriptional upregulation or repression through sequence-specific interactions with DNA response elements (REs). We identified many human genes in the network that contain SNPs in REs that can be transactivated by p53. The discovery of these individual differences has implications for variation in human responses to environmental stresses, risk of disease, and responsiveness to drug therapies. The findings also provide insight into the evolution of complex networks and the role of master regulatory genes, such as p53, in such networks.
个体对暴露诱导疾病易感性的差异可能归因于“环境反应”基因DNA序列的变异,其中许多基因排列在复杂的调控网络中。在大约1000万个遗传DNA变异(称为单核苷酸多态性,即SNP)中,可能只有几千个实际上会影响人类疾病风险。我们结合了生物信息学和实验室方法来研究p53应激反应网络内的遗传变异。p53是一种著名的肿瘤抑制蛋白,是一个主要调节因子,通过与DNA反应元件(RE)的序列特异性相互作用,靶向一百多个基因进行转录上调或抑制。我们在该网络中鉴定出许多人类基因,这些基因的RE中含有可被p53反式激活的SNP。这些个体差异的发现对于人类对环境压力的反应、疾病风险以及药物治疗反应的变异具有重要意义。这些发现还为复杂网络的进化以及诸如p53等主要调节基因在这类网络中的作用提供了见解。